At a Glance
- Tasks: Transform data into insights that shape policy and drive innovation.
- Company: Join a leading organisation at the forefront of statistical transformation.
- Benefits: Flexible working, generous holiday allowance, and a market-leading pension scheme.
- Other info: Collaborative environment with opportunities for career growth and skill development.
- Why this job: Make a real difference in the UK while developing your data science skills.
- Qualifications: Experience in data science and a passion for continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
Location: The locations for this role are Titchfield (Fareham) and Newport.
Salary: £41,985
Working Patterns: Flexible working, Full-time, Job share, Part-time, Compressed hours
Closing Date: Apply before 11:55pm on Tuesday 3rd March 2026
Job Overview: Are you an experienced Data Scientist eager to make a real difference in the UK? We’re looking for Data Scientists to join us at the forefront of transforming the statistical landscape. This is your chance to apply your skills to solve complex challenges, leverage diverse data sources, and deliver insights that shape policy, enhance statistics, and drive innovation.
What we’re looking for:
- A self‑motivated learner who’s eager to constantly improve your data science skills and learn from colleagues and external sources.
- A team player who thrives in a collaborative environment, working alongside analysts, digital experts, and stakeholders across the public sector.
- Data science is a broad and fast‑moving field spanning maths, statistics, software engineering and communications.
- Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals.
In these roles, you will lead teams that will:
- Be inquisitive
- Explore and visualise data
- Make recommendations to address complex problems and to inform strategic and operational decision making
- Use data ethically and appropriately
- Be innovative and adaptable
- Explore existing and new data using a range of statistical tools and techniques, such as machine learning, AI, and predictive analytics
- Find patterns in data and transform them into organisational insight
- Deliver analysis that is fit for purpose and appropriately assured
In return we offer you:
- Hybrid working and flexi‑time so you can work around your life, not the other way around!
- A market‑leading pension scheme – our employer contribution rate is around 29%
- A choice of working patterns for 95% of roles: full‑time, part‑time, compressed hours, job‑share.
- Maternity, adoption or shared parental leave of 26 weeks full pay (subject to qualifying criteria)
- Opportunities to learn new technology & skills on the job, utilising blocked out Protected Learning Time in your weekly schedule and taking advantage of the support of our Communities of Practice
- Employee Assistance Programmes
- Diversity Network Groups
- Mental Health Allies
- Civil Service Sports and Social club
- Generous holiday allowance – 25 days annual leave, rising to 30 days after 5 years service in addition to 9 public holidays
For more information about this role, a full application pack, and to apply, please hit APPLY to be taken to Civil Service Jobs.
Data Scientist in Newport employer: Office for National Statistics
As a Quality Specialist with us, you'll thrive in a supportive and flexible work environment that prioritises your well-being and professional growth. Our hybrid working model allows you to balance office and remote work, while our generous benefits, including a market-leading pension scheme and extensive learning opportunities, ensure you feel valued and empowered. Join a diverse team committed to innovation and collaboration, making a meaningful impact on government data and statistics.
Contact Details:
Office for National Statistics Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Newport
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Office for National Statistics!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Office for National Statistics.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Office for National Statistics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in Newport
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Office for National Statistics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Office for National Statistics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Office for National Statistics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Office for National Statistics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
